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3 results for Data Analysis Manager in Grand Rapids, MI

IT Data Analyst

Grand Rapids, MI
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions. Responsibilities: • Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders. • Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction. • Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs. • Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities. • Investigate system-related issues through root cause analysis and present recommendations backed by data findings. • Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments. • Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making. • Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
2026-05-07T00:00:00Z

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-05-12T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent / Full Time
110000 - 140000 USD / Yearly
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals. Responsibilities: • Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers. • Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures. • Ensure data security and access through role-based controls and best practices for data sharing. • Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions. • Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets. • Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies. • Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations. • Implement automated workflows and CI/CD processes for seamless deployment of data solutions. • Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation. • Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
2026-05-08T00:00:00Z